Michele Marchesi

Prof. Michele Marchesi

Department of Mathematics and Informatics, University of Cagliari, Cagliari, Italy

Research Focus & Metrics

Academic Career Length

48Years (1979-Present)

(Calculated once Scilit publication data is synced: current year − year of first publication + 1)

Representative Publications

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1 February 1999 in Nature
Verified
Journal Article
Closed access
PDF file
TLThomas Lux
Thomas Lux
Michele MarchesiMichele Marchesi
Michele Marchesi

1 September 1987 in ACM Transactions on Mathematical Software
Verified
Journal Article
Open access
ACA. Corana
A. Corana
Michele MarchesiMichele Marchesi
Michele Marchesi
CMC. Martini
C. Martini
SRS. Ridella
S. Ridella
A new global optimization algorithm for functions of continuous variables is presented, derived from the “Simulated Annealing” algorithm recently introduced in combinatorial optimization. The algorithm is essentially an iterative random search procedure with adaptive moves along the coordinate directions. It permits uphill moves under the control of a probabilistic criterion, thus tending to avoid the first local minima encountered. The algorithm has been tested against the Nelder and Mead simplex method and against a version of Adaptive Random Search. The test functions were Rosenbrock valleys and multiminima functions in 2,4, and 10 dimensions. The new method proved to be more reliable than the others, being always able to find the optimum, or at least a point very close to it. It is quite costly in term of function evaluations, but its cost can be predicted in advance, depending only slightly on the starting point.

27 June 2017 in Future Internet
Verified
Journal Article
Open access
PDF file
LCLuisanna Cocco
Luisanna Cocco
Andrea PinnaAndrea Pinna
Andrea Pinna
Michele MarchesiMichele Marchesi
Michele Marchesi
This paper looks at the challenges and opportunities of implementing blockchain technology across banking, providing food for thought about the potentialities of this disruptive technology. The blockchain technology can optimize the global financial infrastructure, achieving sustainable development, using more efficient systems than at present. In fact, many banks are currently focusing on blockchain technology to promote economic growth and accelerate the development of green technologies. In order to understand the potential of blockchain technology to support the financial system, we studied the actual performance of the Bitcoin system, also highlighting its major limitations, such as the significant energy consumption due to the high computing power required, and the high cost of hardware. We estimated the electrical power and the hash rate of the Bitcoin network, over time, and, in order to evaluate the efficiency of the Bitcoin system in its actual operation, we defined three quantities: “economic efficiency”, “operational efficiency”, and “efficient service”. The obtained results show that by overcoming the disadvantages of the Bitcoin system, and therefore of blockchain technology, we could be able to handle financial processes in a more efficient way than under the current system.

1 October 2001 in Physica A: Statistical Mechanics and its Applications
Verified
Journal Article
Closed access
MRMarco Raberto
Marco Raberto
SCSilvano CINCOTTI
Silvano CINCOTTI
SFSergio M. Focardi
Sergio M. Focardi
Michele MarchesiMichele Marchesi
Michele Marchesi

1 May 2017
Verified
Conference Paper
Closed access
SPSimone Porru
Simone Porru
Andrea PinnaAndrea Pinna
Andrea Pinna
Michele MarchesiMichele Marchesi
Michele Marchesi
RTRoberto Tonelli
Roberto Tonelli
In this work, we acknowledge the need for software engineers to devise specialized tools and techniques for blockchain-oriented software development. Ensuring effective testing activities, enhancing collaboration in large teams, and facilitating the development of smart contracts all appear as key factors in the future of blockchain-oriented software development.

1 February 2005 in Information Sciences
Verified
Journal Article
Closed access
GAG. Armano
G. Armano
Michele MarchesiMichele Marchesi
Michele Marchesi
AMA. Murru
A. Murru